Krista Queen
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral Infections and Vectors
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- Viral gastroenteritis research and epidemiology 5
-
- Animal Virus Infections Studies 8
- Co-authors
- Suxiang Tong (11 shared papers)Ying Tao (9 shared papers)Mǎng Shī (2 shared papers)Clinton R. Paden (6 shared papers)Ivan V. Kuzmin (1 shared paper)Jing Zhang (1 shared paper)Edward C. Holmes (1 shared paper)Wanda Markotter (1 shared paper)
- Journals
- Emerging Microbes & Infections (2 papers)Emerging infectious diseases (2 papers)The Journal of Infectious Diseases (1 paper)Journal of Virology (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United StatesAustraliaUnited Arab Emirates
In The Last Decade
Krista Queen
11 papers receiving 478 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 340
- Animal Science and Zoology 164
- Modeling and Simulation 40
- Microbiology 2
- Virology 12
Countries citing papers authored by Krista Queen
This map shows the geographic impact of Krista Queen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Krista Queen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krista Queen more than expected).
Fields of papers citing papers by Krista Queen
This network shows the impact of papers produced by Krista Queen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Krista Queen. The network helps show where Krista Queen may publish in the future.
Co-authors
The 25 scholars most cited alongside Krista Queen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 184 | |
| 2 | 2020 | 69 | |
| 3 | 2017 | 65 | |
| 4 | 2018 | 58 | |
| 5 | 2017 | 36 | |
| 6 | 2017 | 30 | |
| 7 | 2022 | 25 | |
| 8 | 2021 | 13 | |
| 9 | 2019 | 5 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 2 |
About Krista Queen
Krista Queen is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology, having authored 11 papers that have together received 489 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Immunology Research (2 papers), Respiratory viral infections research (2 papers), Poxvirus research and outbreaks (1 paper), Plant Virus Research Studies (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (340 citations), Animal Science and Zoology (164 citations), Modeling and Simulation (40 citations), Microbiology (2 citations) and Virology (12 citations). Krista Queen has collaborated with scholars based in United States, Australia and United Arab Emirates. Frequent co-authors include Suxiang Tong, Ying Tao, Mǎng Shī, Clinton R. Paden, Ivan V. Kuzmin, Jing Zhang, Edward C. Holmes, Wanda Markotter, Christina Chommanard and Yan Li. Their work appears in journals such as Emerging Microbes & Infections, Emerging infectious diseases, The Journal of Infectious Diseases, Journal of Virology and Journal of General Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.